Ground location answers in retrieved places and explicit geographic context.
Editorial note checked 2026-10-29 against this instruction snapshot. Supporting scripts and runtime behavior remain outside this editorial review.
The workflow composes place discovery, nearby results and optional travel or rating context. It emphasizes live evidence rather than recalling place facts from model training.
Agent developers answering location-aware questions.
Search results may be incomplete or outdated. Proximity is not travel time, and user location is sensitive context that should not be shared unnecessarily.
Unknown; inspect source requirements and supporting scripts.
First time installing a skill? Follow the walkthrough →
Inspect the pinned source snapshot and its supporting files first. The command selects this skill through the open-source skills CLI. Node.js and agent-specific setup may be required. Installation can download code. Catalog ingestion never executes skill instructions or install scripts.
npx skills add https://github.com/mapbox/mapbox-agent-skills/tree/f71cd72b8d8937b06db440538bd65559eb792c49/skills/mapbox-location-grounding --skill mapbox-location-groundingReview pinned skill folder ↗ · CLI documentation ↗
After source review, use npx skills check and npx skills update to inspect and apply upstream updates. Re-check changed instructions before running them.
Static review only. This is not a security audit or a guarantee of safety.
SKILL.md text only; scripts, dependencies and runtime behavior not audited.
No configured text patterns matched. Unmatched or concealed behavior can still exist.
Allowed tools declaration: Unknown. Runtime permissions and network behavior: Unknown.
85/100 · Metadata coverage 100% · Model 1.0
Scores summarize observable discovery signals. Popularity and repository activity apply to the whole repository. Unknown runtime safety earns no certification.
Establish the intended place and search scope, retrieve relevant results and add only context needed to answer the request.
Cite retrieved places, verify distances and units and distinguish observed service data from inferred recommendations or unavailable opening and availability information.
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